Table 4.

Benchmarking results compared with the related works

Method	Input		SBP	DBP
	Inputs	Signal	Error	Error
Machine Learning [63]	Feature	ECG	MAE : 7.72	MAE : 9.45
AdaBoost [64]	Feature	ECG PPG	MAE : 8.21 STD : 5.43	MAE : 4.31 STD : 3.52
Seq2seq+Attention [65]	raw	PPG	MAE : 12.08 STD : 15.67	MAE : 5.56 STD : 7.32
ResNet-GRU [66]	raw	PPG	MAE : 9.43	MAE : 6.88
Linear regression [67]	Feature (PTT)	PCG PPG	MAE : 7.47 STD : 11.08	MAE : 3.56 STD : 4.53
Linear regression [68]	Feature (PAT)	ECG PPG	MAE : 7.78	MAE : 4.21
Linear regression with the recalibration (Proposed)	Feature (PTT)	ECG PPG	MAE : 5.10 STD : 3.45	MAE : 4.22 STD : 2.19
CNN+Bi-GRU+Attention with the recalibration (Proposed)	raw		MAE : 4.75 STD : 2.61	MAE : 4.23 STD : 2.51